Triple

T418235
Position Surface form Disambiguated ID Type / Status
Subject Gauteng E8041 entity
Predicate officialLanguage P236 FINISHED
Object Northern Sotho E36025 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Northern Sotho | Statement: [Gauteng, officialLanguage, Northern Sotho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Sotho
Context triple: [Gauteng, officialLanguage, Northern Sotho]
  • A. Northern Sotho (Sepedi) chosen
    Northern Sotho (Sepedi) is a Bantu language of South Africa, recognized as one of the country’s official languages and widely spoken in the northern regions, especially in Limpopo and parts of Gauteng.
  • B. Southern Ndebele
    Southern Ndebele is a Bantu language spoken primarily in South Africa, known for its distinctive click sounds and cultural association with the Ndebele people.
  • C. Sesotho
    Sesotho is a Southern Bantu language spoken primarily in Lesotho and South Africa, where it holds official status and serves as a major medium of communication and cultural identity.
  • D. Northern Ndebele
    Northern Ndebele is a Bantu language of the Nguni group spoken primarily in southwestern Zimbabwe and closely related to Zulu.
  • E. Setswana
    Setswana is a Bantu language spoken primarily in Botswana and parts of South Africa, known for being one of the region’s major indigenous languages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee9059248190ba901680431914b5 completed Feb. 28, 2026, 1:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42a1498808190a3639dedfe8ab5ea completed March 1, 2026, 11:59 a.m.
Created at: Feb. 28, 2026, 1:11 p.m.